Generalizing Ripley's K function to inhomogeneous populations

In spatial statistics, Ripley's K function (Ripley, 1977) is a classical tool to analyse spatial point patterns. Yet, it faces two major limits: it is only pertinent for homogeneous point processes and it does not allow the weighting of points.We generalize it to get a new function, M, which oversteps these limits and detects spatial structures of inhomogeneous populations of weighted points.

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Year of publication:	2009-04-01
Authors:	Marcon, Eric ; Puech, Florence
Institutions:	HAL
Subject:	Spatial statistics \| point processes \| Ripley

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Extent:	application/pdf
Series:	Working Papers.
Type of publication:	Book / Working Paper
Language:	English
Notes:	View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00372631
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008793917